Google is actively expanding its generative AI product line with new image, video, and music models, while also adding a flight simulator to Google Earth and granting early academic access to its Willow quantum chip.
Google has been releasing a series of new AI models and tools across multiple domains. On July 1, 2026, the company launched Nano Banana 2 Lite, an image generation model that outputs images from text in 4 seconds, and Gemini Omni Flash, a video generation and editing model. Both are available on Google AI Studio, Gemini API, and Gemini Enterprise Agent Platform, with pricing starting at $0.034 per 1K resolution image and $0.10 per second of video output.
Earlier in June, Google released Magenta RealTime 2 on June 4, 2026, a music generation AI available in two versions: the high-quality mrt2_base with 2.4 billion parameters and the fast mrt2_small with 230 million parameters. Both are optimized for Apple Silicon, with mrt2_small running in real time on M1 and later Macs, and free instrument apps and DAW plugins for macOS are also available. Also in June, Google Earth added a flight simulator feature to its web version, allowing users to fly around the globe from a browser without downloading an app. The tool, announced by Google Japan, includes keyboard and mouse controls, a HUD display, and a crash-restart mechanic, and is available globally as an experimental feature.
At Nexon's NDC26 conference on June 18, 2026, Google DeepMind Inception Director Alexandre Moufarek detailed how video games have been central to the company's AI research, from Atari and StarCraft to AlphaGo and the Gemini project. He emphasized that games provide safe, complex testbeds for training AI agents and that many DeepMind founders, including CEO Demis Hassabis, are former game developers. Separately, on May 31, 2026, King's College London secured early access to Google's Willow quantum processor, a chip that demonstrated calculations 13,000 times faster than the world's fastest supercomputer in 2025. The access was granted through a program run by Google Quantum AI Lab and the UK's National Quantum Computing Centre (NQCC), with a team led by Dr. Eleanor Crane using Willow to model quantum analogues of brain neurons.
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Jul 1
Google announced Nano Banana 2 Lite, an image generation model that outputs images from text in 4 seconds, and Gemini Omni Flash, a video generation and editing model. Both are available on Google AI Studio, Gemini API, and Gemini Enterprise Agent Platform. Pricing starts at $0.034 per 1K resolution image and $0.10 per second of video output.
Jun 18
Google Earth has added a flight simulator feature to its web version, allowing users to fly around the globe from a browser without downloading an app. The tool, announced by Google Japan, includes keyboard and mouse controls, a HUD display, and a crash-restart mechanic. It is available globally as an experimental feature.
Jun 18
At Nexon's NDC26 conference, Google DeepMind Inception Director Alexandre Moufarek detailed how video games have been central to the company's AI research, from Atari and StarCraft to AlphaGo and the Gemini project. He emphasized that games provide safe, complex testbeds for training AI agents and that many DeepMind founders, including CEO Demis Hassabis, are former game developers whose iterative design experience informs current research.
Jun 5
Google released Magenta RealTime 2 on June 4, 2026, a music generation AI available in two versions: the high-quality mrt2_base with 2.4 billion parameters and the fast mrt2_small with 230 million parameters. Both are optimized for Apple Silicon, with mrt2_small running in real time on M1 and later Macs. Free instrument apps and DAW plugins for macOS are also available.
May 31
King's College London has secured early access to Google's Willow quantum processor, a chip that demonstrated calculations 13,000 times faster than the world's fastest supercomputer in 2025. The access was granted through a program run by Google Quantum AI Lab and the UK's National Quantum Computing Centre (NQCC). A team led by Dr. Eleanor Crane of the university's physics department will use Willow to model quantum analogues of brain neurons, aiming to open new paths in computational neuroscience and quantum modeling. The research could eventually underpin development of better solar cells, efficient power grids, and new disease treatments. Crane said the hardware capable of running such complex simulations is extremely rare, and thanked NQCC and Google for the opportunity. Google Quantum AI COO Charina Chou stated the company believes quantum computing holds immense potential as a tool for scientific progress in fields where classical computing faces fundamental limits.